title: [Testing the identity of hashish samples with ICP-AES and NAA and data handling with neural networks. 2. Data verification with the use of artificial neural networks].
abstract: Twenty different hashish samples, which were confiscated in Irak, Iran, Bulgaria, Switzerland, Great Britain and Germany were analysed by means of NAA and ICP-AES. We used modified ANNs to identify a repeated analysed sample out of that data pool. The ANNs are described. Especially the learning rule, a modified backpropagation method, is presented. It is obvious, that neural networks can solve the described classification tasks. There is no significant difference in the power of the applied analytical methods.
authors.affiliation: Institut für Informatik, Westfälischen Wilhelms-Universität, Münster, Germany.
authors.forename: A
authors.initials: A
authors.lastname: Tenhagen
authors.forename: T
authors.initials: T
authors.lastname: Feuring
authors.forename: W M
authors.initials: WM
authors.lastname: Lippe
mesh_terms: D002188:Cannabis / Q000737:chemistry*; D016571:Neural Networks, Computer; D013054:Spectrophotometry, Atomic
vernacular_title: Identitätsprüfung von Haschischproben mittels ICP-AES und NAA und Datenverarbeitung mit neuronalen Netzen. 2. Mitt.: Datenverarbeitung mit Hilfe künstlicher neuronaler Netze.